Changes in version 2025-12-12                      

This release introduces major modules for data preprocessing and item
analysis, alongside enhancements to the CFA workflow.

  - Missing Value Module: Added a new module for comprehensive missing
    data diagnostics and imputation. Users can now visualize missingness
    patterns and apply strategies ranging from listwise deletion to
    advanced imputation methods (e.g., MICE, missForest).
  - Item Drop Out: Introduced the "Item Drop Out" module (formerly
    Item-Rest) to facilitate automated item elimination strategies for
    optimizing scale properties and factor structures.
  - CFA Module Updates: Enhanced the Confirmatory Factor Analysis (CFA)
    module, specifically improving the "Model Builder" to allow for
    easier definition of covariances and model specifications.
  - Reliability Analysis: Added support for
  - Stratified Alpha coefficient calculation to better assess
    reliability in multidimensional scales.